CAL AI Case Study (Part 2): Paid Ads & Funnel – Every Step Is Measured

When scaling through ads, Cal AI:

  • Does not “burn money blindly”

  • Sets daily break-even or profitability targets

They measure in detail:

Impression → Click
Click → Install
Install → Trial
Trial → Subscribe

At any drop-off point in the conversion funnel, they go back and:

  • Fix the creative

  • Improve the App Store listing

  • Optimize onboarding

  • Adjust the paywall

Ads do not fix a weak product — they only amplify what is already working.

Questions for founders:

  • Where is your funnel leaking?

  • Do you have metrics for every step — or do you just say “ads aren’t working”?

6. Retention & Monetization: Discipline in Direction

Cal AI does not run a half-hearted freemium model.

  • Premium-only

  • Free access exists only to trigger the aha moment

  • Payment is required for real usage

They focus on:

  • Goal-oriented onboarding (fat loss, weight maintenance, etc.)

  • Encouraging users to try the AI scan early

  • Adding retention features (meal plans, macro tracking, recommendations)

Strong retention → High enough LTV → Continued scaling of acquisition.

Questions for founders:

  • Do your users experience an “aha moment” within the first 5 minutes?

  • If you turned off ads, what percentage of users would stay?

7. Why This Is the GTM Approach TechBloom Emphasizes

At TechBloom — the technology incubation program by KisStartup — we do not teach founders to:

  • “Do flashy marketing”

  • Or “scale fast based on belief alone”

We help startups:

  • Design GTM around the product

  • Use social channels and data to learn

  • Move from small → right → fast → sustainable

Cal AI is a clear example of that mindset.

Early-stage go-to-market is not about making many people aware.
It is about designing a simple enough funnel for the product to prove its value through real user data.

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